{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Output\CROAs.JPART OMIT FLIPFLOP & SINGLE AGENCY YEAR CASES.06-18-2022.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}18 Jun 2022, 19:31:36
{txt}
{com}. 
. 
. 
. 
. 
. *** MODELING THE EFFECTS OF CENTRALIZED REPORTING ON THE HANDLING OF EMPLOYEE DISCRIMINATION CASES IN U.S. FEDERAL AGENCIES [KRAUSE & PARK] ***
. 
. 
. 
. 
. **** ACCESS DATABASE ***
. 
. use "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\CROAs.Krause&Park.06-08-2022.dta", replace
{txt}
{com}. 
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. 
. 
. 
. *** GENERATE BINARY INDICATORS FOR "FLIPFLOP" AGENCIES THAT TOGGLE BACK AND FORTH BETWEEN CROA & NON-CROA ARRANGMENT & "SINGLE YEAR" AGENCIES WITH ONLY A SINGLE CASE ***
. 
. gen fliptreatdum = 1 if a_id==46 | a_id==58 | a_id==79 | a_id==80 | a_id==98 | a_id==123 | a_id==132
{txt}(482 missing values generated)

{com}. *
. replace fliptreatdum = 0 if fliptreatdum==.
{txt}(482 real changes made)

{com}. *
. *
. *
. gen singletreatdum = 1 if a_id==15 | a_id==16 | a_id==18 | a_id==64 | a_id==85 | a_id==94 | a_id==99 | a_id==112 | a_id==131
{txt}(504 missing values generated)

{com}. *
. replace singletreatdum = 0 if singletreatdum==.
{txt}(504 real changes made)

{com}. 
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. ****************************************************************************************************************************************************************************
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. 
. 
. *** TESTING H1: EVALUATING THE TOTAL NUMBER OF REPORTED DISCRIMINATION CASES [EVENT COUNT OUTCOME EXPONENTIAL MODEL) ****  
. 
. 
. 
. 
. ****  ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON AGGREGATE COUNTS OF REPORTED CASES OF DISCRIMINATION ///
> ****  [I.E., # SETTLEMENTS (INFORMAL) + # WITHDRAWN (INFORMAL) + # FORMAL COMPLAINT FILED DISCRIMINATION CASES] ****
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagsumintextreport_count fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 4.799e-19}  
Iteration 1:{space 3}EE criterion = {res: 3.186e-25}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       465
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 90:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}   sumintextreport_count{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                      {txt}{c |}
{space 8}direct_reporting {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} 171.6375{col 38}{space 2} 60.18274{col 49}{space 1}    2.85{col 58}{space 3}0.004{col 66}{space 4} 53.68154{col 79}{space 3} 289.5935
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean                   {txt}{c |}
{space 8}direct_reporting {c |}
{space 22}0  {c |}{col 26}{res}{space 2} 89.45337{col 38}{space 2} 23.96365{col 49}{space 1}    3.73{col 58}{space 3}0.000{col 66}{space 4} 42.48548{col 79}{space 3} 136.4212
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                     {txt}{c |}
lagsumintextreport_count {c |}{col 26}{res}{space 2} .0010095{col 38}{space 2} .0006495{col 49}{space 1}    1.55{col 58}{space 3}0.120{col 66}{space 4}-.0002636{col 79}{space 3} .0022826
{txt}{space 12}fairnessgsem {c |}{col 26}{res}{space 2} .6946651{col 38}{space 2} .3127885{col 49}{space 1}    2.22{col 58}{space 3}0.026{col 66}{space 4} .0816109{col 79}{space 3} 1.307719
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2}-.5908352{col 38}{space 2} .3334973{col 49}{space 1}   -1.77{col 58}{space 3}0.076{col 66}{space 4}-1.244478{col 79}{space 3} .0628075
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2} .0513157{col 38}{space 2}  .162124{col 49}{space 1}    0.32{col 58}{space 3}0.752{col 66}{space 4}-.2664415{col 79}{space 3}  .369073
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2}-.0669519{col 38}{space 2} .1075269{col 49}{space 1}   -0.62{col 58}{space 3}0.534{col 66}{space 4}-.2777007{col 79}{space 3}  .143797
{txt}{space 15}nonnested {c |}{col 26}{res}{space 2}  .817877{col 38}{space 2} .2855836{col 49}{space 1}    2.86{col 58}{space 3}0.004{col 66}{space 4} .2581434{col 79}{space 3} 1.377611
{txt}{space 7}politicization_lb {c |}{col 26}{res}{space 2}-.9888979{col 38}{space 2} 2.167992{col 49}{space 1}   -0.46{col 58}{space 3}0.648{col 66}{space 4}-5.238085{col 79}{space 3} 3.260289
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} .8365975{col 38}{space 2} .9466744{col 49}{space 1}    0.88{col 58}{space 3}0.377{col 66}{space 4} -1.01885{col 79}{space 3} 2.692045
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                     {txt}{c |}
{space 12}fairnessgsem {c |}{col 26}{res}{space 2} -.754615{col 38}{space 2} .2205331{col 49}{space 1}   -3.42{col 58}{space 3}0.001{col 66}{space 4}-1.186852{col 79}{space 3} -.322378
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2} .3997591{col 38}{space 2} .1699054{col 49}{space 1}    2.35{col 58}{space 3}0.019{col 66}{space 4} .0667506{col 79}{space 3} .7327676
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2}-.0229523{col 38}{space 2} .0699923{col 49}{space 1}   -0.33{col 58}{space 3}0.743{col 66}{space 4}-.1601347{col 79}{space 3} .1142301
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2} .8736658{col 38}{space 2} .0450943{col 49}{space 1}   19.37{col 58}{space 3}0.000{col 66}{space 4} .7852825{col 79}{space 3}  .962049
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-4.352924{col 38}{space 2} .4970136{col 49}{space 1}   -8.76{col 58}{space 3}0.000{col 66}{space 4}-5.327053{col 79}{space 3}-3.378796
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                     {txt}{c |}
{space 12}fairnessgsem {c |}{col 26}{res}{space 2}-.6989478{col 38}{space 2} .1770255{col 49}{space 1}   -3.95{col 58}{space 3}0.000{col 66}{space 4}-1.045911{col 79}{space 3}-.3519843
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2} .3875108{col 38}{space 2} .1053565{col 49}{space 1}    3.68{col 58}{space 3}0.000{col 66}{space 4} .1810159{col 79}{space 3} .5940056
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2} -.066798{col 38}{space 2} .0739663{col 49}{space 1}   -0.90{col 58}{space 3}0.366{col 66}{space 4}-.2117693{col 79}{space 3} .0781733
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2} .8802378{col 38}{space 2} .0491152{col 49}{space 1}   17.92{col 58}{space 3}0.000{col 66}{space 4} .7839739{col 79}{space 3} .9765017
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-3.292633{col 38}{space 2} .6088482{col 49}{space 1}   -5.41{col 58}{space 3}0.000{col 66}{space 4}-4.485953{col 79}{space 3}-2.099312
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                    {txt}{c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-1.113032{col 38}{space 2} .3715689{col 49}{space 1}   -3.00{col 58}{space 3}0.003{col 66}{space 4}-1.841294{col 79}{space 3}-.3847707
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                    {txt}{c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-.9504381{col 38}{space 2} .3601164{col 49}{space 1}   -2.64{col 58}{space 3}0.008{col 66}{space 4}-1.656253{col 79}{space 3}-.2446229
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H1ATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}   13.42
{txt}{col 10}Prob > chi2 =  {res}  0.0012
{txt}
{com}. 
. 
. 
. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. 
. eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagsumintextreport_count fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fliptreatdum==0 & singletreatdum==0, /// 
> vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 4.799e-19}  
Iteration 1:{space 3}EE criterion = {res: 2.885e-25}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       465
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 90:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}   sumintextreport_count{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                     {txt}{c |}
{space 8}direct_reporting {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} 164.7312{col 38}{space 2} 62.71494{col 49}{space 1}    2.63{col 58}{space 3}0.009{col 66}{space 4} 41.81213{col 79}{space 3} 287.6502
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean                   {txt}{c |}
{space 8}direct_reporting {c |}
{space 22}0  {c |}{col 26}{res}{space 2} 77.59864{col 38}{space 2} 36.54639{col 49}{space 1}    2.12{col 58}{space 3}0.034{col 66}{space 4} 5.969032{col 79}{space 3} 149.2282
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H1ATET
{txt}
{com}. *
. 
. 
. 
.  
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
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. 
. 
. 
. 
. 
. 
. *** TESTING H2: EVALUATING THE PROPORTION OF PRIVATE RESOLUTION CASES: TOTAL, SETTLEMENT ONLY, & WITHDRAWN ONLY [FRACTIONAL PROBIT OUTCOME MODEL) ****  
. 
. 
. 
. 
. 
. **** ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON PROPORTION OF TOTAL PRIVATE RESOLUTION WITHIN AGENCY ///
> **** [I.E., (# SETTLEMENTS + # WITHDRAWN) / (# SETTLEMENTS + # WITHDRAWN + # FORMAL COMPLAINTS FILED) DISCRIMINATION CASES] ****
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (intrep_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagintrep_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.546e-17}  
Iteration 1:{space 3}EE criterion = {res: 9.664e-33}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       461
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .3048003{col 34}{space 2}  .104861{col 45}{space 1}    2.91{col 54}{space 3}0.004{col 62}{space 4} .0992766{col 75}{space 3} .5103241
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2356174{col 34}{space 2} .0624558{col 45}{space 1}    3.77{col 54}{space 3}0.000{col 62}{space 4} .1132062{col 75}{space 3} .3580285
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagintrep_prop {c |}{col 22}{res}{space 2} .7777088{col 34}{space 2} .4851387{col 45}{space 1}    1.60{col 54}{space 3}0.109{col 62}{space 4}-.1731456{col 75}{space 3} 1.728563
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .6055665{col 34}{space 2} .3151134{col 45}{space 1}    1.92{col 54}{space 3}0.055{col 62}{space 4}-.0120444{col 75}{space 3} 1.223177
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.5260693{col 34}{space 2}  .328507{col 45}{space 1}   -1.60{col 54}{space 3}0.109{col 62}{space 4}-1.169931{col 75}{space 3} .1177925
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .0294361{col 34}{space 2} .1592928{col 45}{space 1}    0.18{col 54}{space 3}0.853{col 62}{space 4}-.2827721{col 75}{space 3} .3416442
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0945109{col 34}{space 2}  .082911{col 45}{space 1}    1.14{col 54}{space 3}0.254{col 62}{space 4}-.0679917{col 75}{space 3} .2570136
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .8743425{col 34}{space 2} .2936283{col 45}{space 1}    2.98{col 54}{space 3}0.003{col 62}{space 4} .2988417{col 75}{space 3} 1.449843
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-1.164835{col 34}{space 2} 2.410208{col 45}{space 1}   -0.48{col 54}{space 3}0.629{col 62}{space 4}-5.888755{col 75}{space 3} 3.559085
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.7688499{col 34}{space 2} .8254611{col 45}{space 1}   -0.93{col 54}{space 3}0.352{col 62}{space 4}-2.386724{col 75}{space 3} .8490241
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.0588537{col 34}{space 2} .2230357{col 45}{space 1}   -0.26{col 54}{space 3}0.792{col 62}{space 4}-.4959957{col 75}{space 3} .3782882
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .2080178{col 34}{space 2} .1660427{col 45}{space 1}    1.25{col 54}{space 3}0.210{col 62}{space 4}  -.11742{col 75}{space 3} .5334555
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0368907{col 34}{space 2} .0786429{col 45}{space 1}   -0.47{col 54}{space 3}0.639{col 62}{space 4}-.1910281{col 75}{space 3} .1172466
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} -.047345{col 34}{space 2} .0534705{col 45}{space 1}   -0.89{col 54}{space 3}0.376{col 62}{space 4}-.1521452{col 75}{space 3} .0574552
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.5354505{col 34}{space 2} .3882071{col 45}{space 1}   -1.38{col 54}{space 3}0.168{col 62}{space 4}-1.296322{col 75}{space 3} .2254214
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.2153244{col 34}{space 2} .1749376{col 45}{space 1}   -1.23{col 54}{space 3}0.218{col 62}{space 4}-.5581958{col 75}{space 3}  .127547
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .1789931{col 34}{space 2} .1398203{col 45}{space 1}    1.28{col 54}{space 3}0.200{col 62}{space 4}-.0950495{col 75}{space 3} .4530358
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0436224{col 34}{space 2} .0411993{col 45}{space 1}   -1.06{col 54}{space 3}0.290{col 62}{space 4}-.1243716{col 75}{space 3} .0371268
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0003393{col 34}{space 2} .0297651{col 45}{space 1}    0.01{col 54}{space 3}0.991{col 62}{space 4}-.0579991{col 75}{space 3} .0586778
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .0232729{col 34}{space 2} .3658804{col 45}{space 1}    0.06{col 54}{space 3}0.949{col 62}{space 4}-.6938395{col 75}{space 3} .7403853
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.123022{col 34}{space 2} .5427368{col 45}{space 1}   -2.07{col 54}{space 3}0.039{col 62}{space 4}-2.186766{col 75}{space 3} -.059277
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.7337272{col 34}{space 2} .4697044{col 45}{space 1}   -1.56{col 54}{space 3}0.118{col 62}{space 4}-1.654331{col 75}{space 3} .1868766
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H2ATE
{txt}
{com}. * 
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    5.18
{txt}{col 10}Prob > chi2 =  {res}  0.0749
{txt}
{com}. 
. 
. 
. 
. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (intrep_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagintrep_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.546e-17}  
Iteration 1:{space 3}EE criterion = {res: 7.098e-33}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       461
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .3216803{col 34}{space 2} .1052763{col 45}{space 1}    3.06{col 54}{space 3}0.002{col 62}{space 4} .1153426{col 75}{space 3}  .528018
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1142952{col 34}{space 2} .0972207{col 45}{space 1}    1.18{col 54}{space 3}0.240{col 62}{space 4}-.0762539{col 75}{space 3} .3048443
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H2ATET
{txt}
{com}. *
. 
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. **** TESTING H3.A:  ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON PROPORTION OF WITHDRAWN PRIVATE RESOLUTIONS WITHIN AGENCY  ****
. **** [I.E., (# WITHDRAWN) / (# SETTLEMENTS + # WITHDRAWN + # FORMAL COMPLAINTS FILED) DISCRIMINATION CASES] ****
. 
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (withdraw_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagwithdraw_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count nonnested politicization_lb)  if intrep_prop!=. & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.828e-17}  
Iteration 1:{space 3}EE criterion = {res: 2.784e-33}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       461
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .2713788{col 34}{space 2} .0993388{col 45}{space 1}    2.73{col 54}{space 3}0.006{col 62}{space 4} .0766783{col 75}{space 3} .4660792
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2022871{col 34}{space 2} .0454752{col 45}{space 1}    4.45{col 54}{space 3}0.000{col 62}{space 4} .1131573{col 75}{space 3} .2914168
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 4}lagwithdraw_prop {c |}{col 22}{res}{space 2} .7837424{col 34}{space 2} .4228378{col 45}{space 1}    1.85{col 54}{space 3}0.064{col 62}{space 4}-.0450045{col 75}{space 3} 1.612489
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .6136845{col 34}{space 2} .3162038{col 45}{space 1}    1.94{col 54}{space 3}0.052{col 62}{space 4}-.0060636{col 75}{space 3} 1.233433
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} -.528617{col 34}{space 2} .3273057{col 45}{space 1}   -1.62{col 54}{space 3}0.106{col 62}{space 4}-1.170124{col 75}{space 3} .1128903
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .0248407{col 34}{space 2} .1581779{col 45}{space 1}    0.16{col 54}{space 3}0.875{col 62}{space 4}-.2851822{col 75}{space 3} .3348636
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}  .093011{col 34}{space 2}  .083226{col 45}{space 1}    1.12{col 54}{space 3}0.264{col 62}{space 4}-.0701089{col 75}{space 3} .2561309
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .8642929{col 34}{space 2} .2941682{col 45}{space 1}    2.94{col 54}{space 3}0.003{col 62}{space 4} .2877337{col 75}{space 3} 1.440852
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-1.033166{col 34}{space 2} 2.436162{col 45}{space 1}   -0.42{col 54}{space 3}0.671{col 62}{space 4}-5.807955{col 75}{space 3} 3.741623
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.6821341{col 34}{space 2} .8201897{col 45}{space 1}   -0.83{col 54}{space 3}0.406{col 62}{space 4}-2.289676{col 75}{space 3} .9254083
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}  .079878{col 34}{space 2} .1704623{col 45}{space 1}    0.47{col 54}{space 3}0.639{col 62}{space 4}-.2542219{col 75}{space 3} .4139779
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .1224308{col 34}{space 2}   .11798{col 45}{space 1}    1.04{col 54}{space 3}0.299{col 62}{space 4}-.1088058{col 75}{space 3} .3536673
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .0260295{col 34}{space 2} .0485305{col 45}{space 1}    0.54{col 54}{space 3}0.592{col 62}{space 4}-.0690885{col 75}{space 3} .1211475
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0321578{col 34}{space 2}  .036791{col 45}{space 1}    0.87{col 54}{space 3}0.382{col 62}{space 4}-.0399513{col 75}{space 3} .1042669
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.266416{col 34}{space 2} .2941249{col 45}{space 1}   -4.31{col 54}{space 3}0.000{col 62}{space 4}-1.842891{col 75}{space 3}-.6899421
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.3175893{col 34}{space 2} .1877803{col 45}{space 1}   -1.69{col 54}{space 3}0.091{col 62}{space 4}-.6856319{col 75}{space 3} .0504533
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .1997405{col 34}{space 2} .1571401{col 45}{space 1}    1.27{col 54}{space 3}0.204{col 62}{space 4}-.1082485{col 75}{space 3} .5077295
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} -.035052{col 34}{space 2} .0506532{col 45}{space 1}   -0.69{col 54}{space 3}0.489{col 62}{space 4}-.1343305{col 75}{space 3} .0642265
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0097372{col 34}{space 2} .0312407{col 45}{space 1}   -0.31{col 54}{space 3}0.755{col 62}{space 4}-.0709679{col 75}{space 3} .0514935
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.0779478{col 34}{space 2} .3848845{col 45}{space 1}   -0.20{col 54}{space 3}0.840{col 62}{space 4}-.8323076{col 75}{space 3}  .676412
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.7157063{col 34}{space 2} .3525015{col 45}{space 1}   -2.03{col 54}{space 3}0.042{col 62}{space 4}-1.406597{col 75}{space 3} -.024816
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.8546578{col 34}{space 2} .4866929{col 45}{space 1}   -1.76{col 54}{space 3}0.079{col 62}{space 4}-1.808558{col 75}{space 3} .0992428
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H3aATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    5.10
{txt}{col 10}Prob > chi2 =  {res}  0.0782
{txt}
{com}. 
. 
. 
. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (withdraw_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagwithdraw_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count nonnested politicization_lb)  if intrep_prop!=. & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.828e-17}  
Iteration 1:{space 3}EE criterion = {res: 2.482e-33}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       461
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .2185545{col 34}{space 2} .0775714{col 45}{space 1}    2.82{col 54}{space 3}0.005{col 62}{space 4} .0665173{col 75}{space 3} .3705916
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1310843{col 34}{space 2} .0706372{col 45}{space 1}    1.86{col 54}{space 3}0.063{col 62}{space 4} -.007362{col 75}{space 3} .2695307
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H3aATET
{txt}
{com}. *
. 
. 
. 
. 
.  
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. **** TESTING H3.B: ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON PROPORTION OF SETTLEMENT PRIVATE RESOLUTIONS WITHIN AGENCY  ****
. **** [I.E., (# SETTLEMENTS) / (# SETTLEMENTS + # WITHDRAWN + # FORMAL COMPLAINTS FILED) DISCRIMINATION CASES] ****
. 
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (settle_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagsettle_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 2.481e-17}  
Iteration 1:{space 3}EE criterion = {res: 4.493e-31}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       461
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2}  .008611{col 34}{space 2} .0745561{col 45}{space 1}    0.12{col 54}{space 3}0.908{col 62}{space 4}-.1375162{col 75}{space 3} .1547382
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .0738457{col 34}{space 2} .0557644{col 45}{space 1}    1.32{col 54}{space 3}0.185{col 62}{space 4}-.0354506{col 75}{space 3}  .183142
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagsettle_prop {c |}{col 22}{res}{space 2} .2161587{col 34}{space 2} .8050685{col 45}{space 1}    0.27{col 54}{space 3}0.788{col 62}{space 4}-1.361747{col 75}{space 3} 1.794064
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}  .614771{col 34}{space 2}  .314008{col 45}{space 1}    1.96{col 54}{space 3}0.050{col 62}{space 4}-.0006733{col 75}{space 3} 1.230215
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.5172661{col 34}{space 2} .3277317{col 45}{space 1}   -1.58{col 54}{space 3}0.114{col 62}{space 4}-1.159608{col 75}{space 3} .1250763
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .0328063{col 34}{space 2} .1577704{col 45}{space 1}    0.21{col 54}{space 3}0.835{col 62}{space 4}-.2764179{col 75}{space 3} .3420306
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .1017897{col 34}{space 2} .0829394{col 45}{space 1}    1.23{col 54}{space 3}0.220{col 62}{space 4}-.0607685{col 75}{space 3}  .264348
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .8985983{col 34}{space 2} .2948053{col 45}{space 1}    3.05{col 54}{space 3}0.002{col 62}{space 4} .3207906{col 75}{space 3} 1.476406
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-.8865781{col 34}{space 2} 2.463038{col 45}{space 1}   -0.36{col 54}{space 3}0.719{col 62}{space 4}-5.714044{col 75}{space 3} 3.940888
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.5436658{col 34}{space 2}  .830398{col 45}{space 1}   -0.65{col 54}{space 3}0.513{col 62}{space 4}-2.171216{col 75}{space 3} 1.083884
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.0853622{col 34}{space 2} .3492206{col 45}{space 1}   -0.24{col 54}{space 3}0.807{col 62}{space 4}-.7698219{col 75}{space 3} .5990975
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}  .114128{col 34}{space 2} .2049697{col 45}{space 1}    0.56{col 54}{space 3}0.578{col 62}{space 4}-.2876052{col 75}{space 3} .5158612
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0977365{col 34}{space 2} .0878646{col 45}{space 1}   -1.11{col 54}{space 3}0.266{col 62}{space 4} -.269948{col 75}{space 3}  .074475
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.1313149{col 34}{space 2}  .079813{col 45}{space 1}   -1.65{col 54}{space 3}0.100{col 62}{space 4}-.2877455{col 75}{space 3} .0251157
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} -.403905{col 34}{space 2} .5709372{col 45}{space 1}   -0.71{col 54}{space 3}0.479{col 62}{space 4}-1.522921{col 75}{space 3} .7151113
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .1695756{col 34}{space 2} .2071962{col 45}{space 1}    0.82{col 54}{space 3}0.413{col 62}{space 4}-.2365215{col 75}{space 3} .5756727
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .0003617{col 34}{space 2} .1581841{col 45}{space 1}    0.00{col 54}{space 3}0.998{col 62}{space 4}-.3096734{col 75}{space 3} .3103969
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0385525{col 34}{space 2} .0345388{col 45}{space 1}   -1.12{col 54}{space 3}0.264{col 62}{space 4}-.1062473{col 75}{space 3} .0291423
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}  .024733{col 34}{space 2} .0281651{col 45}{space 1}    0.88{col 54}{space 3}0.380{col 62}{space 4}-.0304696{col 75}{space 3} .0799356
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.602052{col 34}{space 2} .3675889{col 45}{space 1}   -4.36{col 54}{space 3}0.000{col 62}{space 4}-2.322513{col 75}{space 3}-.8815907
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.4601466{col 34}{space 2} .9732185{col 45}{space 1}   -0.47{col 54}{space 3}0.636{col 62}{space 4} -2.36762{col 75}{space 3} 1.447327
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2} .0413758{col 34}{space 2} .5306342{col 45}{space 1}    0.08{col 54}{space 3}0.938{col 62}{space 4} -.998648{col 75}{space 3}   1.0814
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H3bATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    0.28
{txt}{col 10}Prob > chi2 =  {res}  0.8708
{txt}
{com}. 
. 
. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (settle_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagsettle_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count nonnested politicization_lb)  if intrep_prop!=. & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 2.481e-17}  
Iteration 1:{space 3}EE criterion = {res: 4.438e-31}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       461
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .0359029{col 34}{space 2} .0934138{col 45}{space 1}    0.38{col 54}{space 3}0.701{col 62}{space 4}-.1471846{col 75}{space 3} .2189905
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2}  .050443{col 34}{space 2} .0905068{col 45}{space 1}    0.56{col 54}{space 3}0.577{col 62}{space 4} -.126947{col 75}{space 3}  .227833
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H3bATET
{txt}
{com}. *
. 
. coefplot (H1ATE, rename(r1vs0.direct_reporting="ATE") \ H1ATET, rename(r1vs0.direct_reporting="ATET")),ylabel(-50 (100) 350, angle(horizon)) yscale(range (-50 (100) 350)) bylabel(Total Caseloads) vertical yline (0, lcolor(black) lwidth(thin) lpattern(dash)) grid(n) ciopts(recast(rcap) lcolor(dkgreen)) nooffsets msize(medsmall) xlabel(, nolabels) mcolor(dkgreen) title("Figure SA-4.1" "Total Number of Reported Discrimination", size(medlarge)) saving("FigureSA-41")
{res}{txt}(file FigureSA-41.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureA4-1_revised.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureA4-1_revised.gph saved)

{com}. 
. coefplot (H2ATE, rename(r1vs0.direct_reporting="H2 ATE") \ H2ATET, rename(r1vs0.direct_reporting="H2 ATET")),ylabel(-0.2 (0.2) 1, angle(horizon)) yscale(range (-0.2 (0.2) 1)) vertical yline (0, lcolor(black) lwidth(thin) lpattern(dash)) grid(n) ciopts(recast(rcap) lcolor(dknavy)) nooffsets msize(medsmall) xlabel(, nolabels) mcolor(dknavy) title("Figure SA-4.2" "Informal Caseload Rate", size(medlarge)) saving ("FigureSA-42")
{res}{txt}(file FigureSA-42.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureA4-2_revised.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureA4-2_revised.gph saved)

{com}. 
. coefplot (H3aATE, rename(r1vs0.direct_reporting="H3a ATE") \ H3aATET, rename(r1vs0.direct_reporting="H3a ATET")),ylabel(-0.2 (0.2) 1, angle(horizon)) yscale(range (-0.2 (0.2) 1)) vertical yline (0, lcolor(black) lwidth(thin) lpattern(dash)) grid(n) ciopts(recast(rcap) lcolor(dkorange)) nooffsets msize(medsmall) xlabel(, nolabels) mcolor(dkorange) title("Figure SA-4.3" "Withdrawn Caseload Rate", size(medlarge)) saving ("FigureSA-43")
{res}{txt}(file FigureSA-43.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureA4-3_revised.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureA4-3_revised.gph saved)

{com}. 
. coefplot (H3bATE, rename(r1vs0.direct_reporting="H3b ATE") \ H3bATET, rename(r1vs0.direct_reporting="H3b ATET")),ylabel(-0.2 (0.2) 1, angle(horizon)) yscale(range (-0.2 (0.2) 1)) bylabel(Internal Caseloads) vertical yline (0, lcolor(black) lwidth(thin) lpattern(dash)) grid(n) ciopts(recast(rcap) lcolor(cranberry)) nooffsets msize(medsmall) xlabel(, nolabels) mcolor(cranberry) title("Figure SA-4.4" "Settlement Caseload Rate", size(medlarge)) saving("FigureSA-44")
{res}{txt}(file FigureSA-44.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureA4-4_revised.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureA4-4_revised.gph saved)

{com}. 
. gr combine FigureA4-1_revised.gph FigureA4-2_revised.gph FigureA4-3_revised.gph FigureA4-4_revised.gph, note("Point Estimates and Corresponding 95% Confidence Intervals", j(right) place(seast) size(vsmall))
{res}{txt}
{com}. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
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. ****************************************************************************************************************************************************************************
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. ****************************************************************************************************************************************************************************
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. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. **** SUBTREATMENT MODELS BASED ON LATENT ORGANIZATIONAL FAIRNESS OF ADMINISTRATIVE ENVIRONMENT TERCILES [HIGH, MODERATE, & LOW] ****
. 
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
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. 
. 
. 
. 
. 
. 
. *** TESTING H1: EVALUATING THE TOTAL NUMBER OF REPORTED DISCRIMINATION CASES [EVENT COUNT OUTCOME EXPONENTIAL MODEL) ****  
. 
. 
. 
. 
. ****  ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON AGGREGATE COUNTS OF REPORTED CASES OF DISCRIMINATION ///
> ****  [I.E., # SETTLEMENTS (INFORMAL) + # WITHDRAWN (INFORMAL) + # FORMAL COMPLAINT FILED DISCRIMINATION CASES] ****
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. ** HIGH ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON UPPER TERCILE [fairnessgsem >= 0.243207] ** 
. 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagsumintextreport_count  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= 0.243207 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 7.177e-19}  
Iteration 1:{space 3}EE criterion = {res: 1.695e-25}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       153
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 90:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}   sumintextreport_count{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                      {txt}{c |}
{space 8}direct_reporting {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} 391.9978{col 38}{space 2} 260.0856{col 49}{space 1}    1.51{col 58}{space 3}0.132{col 66}{space 4}-117.7605{col 79}{space 3} 901.7562
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean                   {txt}{c |}
{space 8}direct_reporting {c |}
{space 22}0  {c |}{col 26}{res}{space 2}   36.052{col 38}{space 2} 23.06148{col 49}{space 1}    1.56{col 58}{space 3}0.118{col 66}{space 4} -9.14768{col 79}{space 3} 81.25168
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                     {txt}{c |}
lagsumintextreport_count {c |}{col 26}{res}{space 2} .0008334{col 38}{space 2} .0006792{col 49}{space 1}    1.23{col 58}{space 3}0.220{col 66}{space 4}-.0004979{col 79}{space 3} .0021646
{txt}{space 12}fairnessgsem {c |}{col 26}{res}{space 2} .1431398{col 38}{space 2}   .63079{col 49}{space 1}    0.23{col 58}{space 3}0.820{col 66}{space 4}-1.093186{col 79}{space 3} 1.379465
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2}-.8306852{col 38}{space 2} .4983688{col 49}{space 1}   -1.67{col 58}{space 3}0.096{col 66}{space 4} -1.80747{col 79}{space 3} .1460998
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2} 2.250661{col 38}{space 2} 1.258102{col 49}{space 1}    1.79{col 58}{space 3}0.074{col 66}{space 4}-.2151733{col 79}{space 3} 4.716495
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2}-.1482466{col 38}{space 2} .1581449{col 49}{space 1}   -0.94{col 58}{space 3}0.349{col 66}{space 4}-.4582049{col 79}{space 3} .1617116
{txt}{space 15}nonnested {c |}{col 26}{res}{space 2} .8277431{col 38}{space 2} .3875971{col 49}{space 1}    2.14{col 58}{space 3}0.033{col 66}{space 4} .0680667{col 79}{space 3} 1.587419
{txt}{space 7}politicization_lb {c |}{col 26}{res}{space 2} 1.805593{col 38}{space 2} 3.124431{col 49}{space 1}    0.58{col 58}{space 3}0.563{col 66}{space 4} -4.31818{col 79}{space 3} 7.929366
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} 1.394941{col 38}{space 2} 1.461655{col 49}{space 1}    0.95{col 58}{space 3}0.340{col 66}{space 4}-1.469849{col 79}{space 3} 4.259732
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                     {txt}{c |}
{space 12}fairnessgsem {c |}{col 26}{res}{space 2}-.9628908{col 38}{space 2} .8841223{col 49}{space 1}   -1.09{col 58}{space 3}0.276{col 66}{space 4}-2.695739{col 79}{space 3}  .769957
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2} .6105148{col 38}{space 2} .7106354{col 49}{space 1}    0.86{col 58}{space 3}0.390{col 66}{space 4} -.782305{col 79}{space 3} 2.003335
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2}-2.439724{col 38}{space 2} 2.548808{col 49}{space 1}   -0.96{col 58}{space 3}0.338{col 66}{space 4}-7.435297{col 79}{space 3} 2.555848
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2} 1.140849{col 38}{space 2} .1599673{col 49}{space 1}    7.13{col 58}{space 3}0.000{col 66}{space 4} .8273192{col 79}{space 3} 1.454379
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-7.690632{col 38}{space 2} 1.853933{col 49}{space 1}   -4.15{col 58}{space 3}0.000{col 66}{space 4}-11.32427{col 79}{space 3}-4.056989
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                     {txt}{c |}
{space 12}fairnessgsem {c |}{col 26}{res}{space 2}-.8764445{col 38}{space 2} .5767639{col 49}{space 1}   -1.52{col 58}{space 3}0.129{col 66}{space 4}-2.006881{col 79}{space 3} .2539919
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2} .7344696{col 38}{space 2} .2496177{col 49}{space 1}    2.94{col 58}{space 3}0.003{col 66}{space 4} .2452279{col 79}{space 3} 1.223711
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2}-1.184557{col 38}{space 2} .7915875{col 49}{space 1}   -1.50{col 58}{space 3}0.135{col 66}{space 4} -2.73604{col 79}{space 3} .3669254
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2} .8978468{col 38}{space 2} .0739237{col 49}{space 1}   12.15{col 58}{space 3}0.000{col 66}{space 4}  .752959{col 79}{space 3} 1.042735
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-2.974669{col 38}{space 2}  1.05372{col 49}{space 1}   -2.82{col 58}{space 3}0.005{col 66}{space 4}-5.039923{col 79}{space 3}-.9094154
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                    {txt}{c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-3.097581{col 38}{space 2} 1.450131{col 49}{space 1}   -2.14{col 58}{space 3}0.033{col 66}{space 4}-5.939785{col 79}{space 3}-.2553763
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                    {txt}{c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-2.345759{col 38}{space 2} 1.140271{col 49}{space 1}   -2.06{col 58}{space 3}0.040{col 66}{space 4}-4.580648{col 79}{space 3}  -.11087
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H1ATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    6.41
{txt}{col 10}Prob > chi2 =  {res}  0.0406
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
. eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagsumintextreport_count  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= 0.243207 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 7.177e-19}  
Iteration 1:{space 3}EE criterion = {res: 6.362e-26}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       153
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 90:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}   sumintextreport_count{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                     {txt}{c |}
{space 8}direct_reporting {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} 193.7849{col 38}{space 2}  69.2072{col 49}{space 1}    2.80{col 58}{space 3}0.005{col 66}{space 4} 58.14124{col 79}{space 3} 329.4285
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean                   {txt}{c |}
{space 8}direct_reporting {c |}
{space 22}0  {c |}{col 26}{res}{space 2} 17.63755{col 38}{space 2} 21.20339{col 49}{space 1}    0.83{col 58}{space 3}0.406{col 66}{space 4}-23.92033{col 79}{space 3} 59.19544
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H1ATET
{txt}
{com}. *
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** MODERATE ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON INTERTERCILE RANGE [fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207] ***  
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagsumintextreport_count fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >=    -0.0520733 & fairnessgsem < 0.243207 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 2.776e-15}  
Iteration 1:{space 3}EE criterion = {res: 4.477e-24}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       152
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 90:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}   sumintextreport_count{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                      {txt}{c |}
{space 8}direct_reporting {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} 43.39989{col 38}{space 2} 46.76386{col 49}{space 1}    0.93{col 58}{space 3}0.353{col 66}{space 4}-48.25559{col 79}{space 3} 135.0554
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean                   {txt}{c |}
{space 8}direct_reporting {c |}
{space 22}0  {c |}{col 26}{res}{space 2} 129.2736{col 38}{space 2} 43.46164{col 49}{space 1}    2.97{col 58}{space 3}0.003{col 66}{space 4}  44.0904{col 79}{space 3} 214.4569
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                     {txt}{c |}
lagsumintextreport_count {c |}{col 26}{res}{space 2} .0009607{col 38}{space 2} .0004978{col 49}{space 1}    1.93{col 58}{space 3}0.054{col 66}{space 4} -.000015{col 79}{space 3} .0019365
{txt}{space 12}fairnessgsem {c |}{col 26}{res}{space 2}  2.46722{col 38}{space 2} 1.322365{col 49}{space 1}    1.87{col 58}{space 3}0.062{col 66}{space 4}-.1245665{col 79}{space 3} 5.059007
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2}-.3156828{col 38}{space 2} .4705276{col 49}{space 1}   -0.67{col 58}{space 3}0.502{col 66}{space 4}  -1.2379{col 79}{space 3} .6065344
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2} -.732596{col 38}{space 2} .5549225{col 49}{space 1}   -1.32{col 58}{space 3}0.187{col 66}{space 4}-1.820224{col 79}{space 3} .3550321
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2} -.170092{col 38}{space 2} .1433325{col 49}{space 1}   -1.19{col 58}{space 3}0.235{col 66}{space 4}-.4510186{col 79}{space 3} .1108345
{txt}{space 15}nonnested {c |}{col 26}{res}{space 2} 1.001359{col 38}{space 2}  .392072{col 49}{space 1}    2.55{col 58}{space 3}0.011{col 66}{space 4} .2329117{col 79}{space 3} 1.769806
{txt}{space 7}politicization_lb {c |}{col 26}{res}{space 2}-4.249168{col 38}{space 2}  2.80988{col 49}{space 1}   -1.51{col 58}{space 3}0.130{col 66}{space 4}-9.756432{col 79}{space 3} 1.258096
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} 1.565849{col 38}{space 2} 1.302492{col 49}{space 1}    1.20{col 58}{space 3}0.229{col 66}{space 4}-.9869874{col 79}{space 3} 4.118686
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                     {txt}{c |}
{space 12}fairnessgsem {c |}{col 26}{res}{space 2}-.7579179{col 38}{space 2} .8303718{col 49}{space 1}   -0.91{col 58}{space 3}0.361{col 66}{space 4}-2.385417{col 79}{space 3} .8695808
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2} .1696777{col 38}{space 2}  .200662{col 49}{space 1}    0.85{col 58}{space 3}0.398{col 66}{space 4}-.2236127{col 79}{space 3}  .562968
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2} .2323271{col 38}{space 2} .1111667{col 49}{space 1}    2.09{col 58}{space 3}0.037{col 66}{space 4} .0144445{col 79}{space 3} .4502098
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2} .9338024{col 38}{space 2} .0682494{col 49}{space 1}   13.68{col 58}{space 3}0.000{col 66}{space 4} .8000361{col 79}{space 3} 1.067569
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-4.511516{col 38}{space 2}  .643096{col 49}{space 1}   -7.02{col 58}{space 3}0.000{col 66}{space 4}-5.771961{col 79}{space 3}-3.251071
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                     {txt}{c |}
{space 12}fairnessgsem {c |}{col 26}{res}{space 2}-.9925046{col 38}{space 2} .3234379{col 49}{space 1}   -3.07{col 58}{space 3}0.002{col 66}{space 4}-1.626431{col 79}{space 3}-.3585781
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2}-.2874909{col 38}{space 2}  .200056{col 49}{space 1}   -1.44{col 58}{space 3}0.151{col 66}{space 4}-.6795936{col 79}{space 3} .1046117
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2}  .978279{col 38}{space 2} .3829803{col 49}{space 1}    2.55{col 58}{space 3}0.011{col 66}{space 4} .2276514{col 79}{space 3} 1.728907
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2} .9310462{col 38}{space 2} .0329533{col 49}{space 1}   28.25{col 58}{space 3}0.000{col 66}{space 4} .8664589{col 79}{space 3} .9956336
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-4.200037{col 38}{space 2} .4008027{col 49}{space 1}  -10.48{col 58}{space 3}0.000{col 66}{space 4}-4.985596{col 79}{space 3}-3.414478
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                    {txt}{c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-.7491982{col 38}{space 2} .5078156{col 49}{space 1}   -1.48{col 58}{space 3}0.140{col 66}{space 4}-1.744498{col 79}{space 3}  .246102
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                    {txt}{c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .2526619{col 38}{space 2}  .372557{col 49}{space 1}    0.68{col 58}{space 3}0.498{col 66}{space 4}-.4775364{col 79}{space 3} .9828603
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H1ATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    2.75
{txt}{col 10}Prob > chi2 =  {res}  0.2529
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagsumintextreport_count fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >=    -0.0520733 & fairnessgsem < 0.243207 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 2.776e-15}  
Iteration 1:{space 3}EE criterion = {res: 3.728e-24}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       152
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 90:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}   sumintextreport_count{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                     {txt}{c |}
{space 8}direct_reporting {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} 89.71226{col 38}{space 2} 68.37553{col 49}{space 1}    1.31{col 58}{space 3}0.190{col 66}{space 4}-44.30132{col 79}{space 3} 223.7259
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean                   {txt}{c |}
{space 8}direct_reporting {c |}
{space 22}0  {c |}{col 26}{res}{space 2}  130.739{col 38}{space 2} 77.35391{col 49}{space 1}    1.69{col 58}{space 3}0.091{col 66}{space 4}-20.87192{col 79}{space 3} 282.3498
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H1ATET
{txt}
{com}. *
.  
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** LOW ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON LOWER TERCILE [fairnessgsem < -0.0520733]; OTHERWISE = 0 ** 
. *** NOTE: OVERLAP ASSUMPTION IS VIOLATED REGARDING CROA TREATMENT / NON-CROA TREATMENT ***
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. *eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> *(direct_reporting lagsumintextreport_count fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem *<     -0.0520733 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) aequations
. *
. *estat endogenous
. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. *eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> *(direct_reporting lagsumintextreport_count fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem *<     -0.0520733 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) atet
. *
.  
. 
. 
.  
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. *** TESTING H2: EVALUATING THE PROPORTION OF PRIVATE RESOLUTION CASES: TOTAL, SETTLEMENT ONLY, & WITHDRAWN ONLY [FRACTIONAL PROBIT OUTCOME MODEL) ****  
. 
. 
. 
. 
. 
. **** ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON PROPORTION OF TOTAL PRIVATE RESOLUTION WITHIN AGENCY ///
> **** [I.E., (# SETTLEMENTS + # WITHDRAWN) / (# SETTLEMENTS + # WITHDRAWN + # FORMAL COMPLAINTS FILED) DISCRIMINATION CASES] ****
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. ** HIGH ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON UPPER TERCILE [fairnessgsem >= 0.243207] ** 
. 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (intrep_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagintrep_prop   fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= 0.243207 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.497e-13}  
Iteration 1:{space 3}EE criterion = {res: 9.013e-21}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       151
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .4555322{col 34}{space 2} .2231501{col 45}{space 1}    2.04{col 54}{space 3}0.041{col 62}{space 4}  .018166{col 75}{space 3} .8928984
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1690807{col 34}{space 2} .0709643{col 45}{space 1}    2.38{col 54}{space 3}0.017{col 62}{space 4} .0299932{col 75}{space 3} .3081682
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagintrep_prop {c |}{col 22}{res}{space 2} .7320552{col 34}{space 2} .6889933{col 45}{space 1}    1.06{col 54}{space 3}0.288{col 62}{space 4}-.6183468{col 75}{space 3} 2.082457
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.1624042{col 34}{space 2} .7266468{col 45}{space 1}   -0.22{col 54}{space 3}0.823{col 62}{space 4}-1.586606{col 75}{space 3} 1.261797
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.8664807{col 34}{space 2} .5054597{col 45}{space 1}   -1.71{col 54}{space 3}0.086{col 62}{space 4}-1.857164{col 75}{space 3} .1242022
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} 2.363687{col 34}{space 2} 1.323289{col 45}{space 1}    1.79{col 54}{space 3}0.074{col 62}{space 4}-.2299115{col 75}{space 3} 4.957285
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0050331{col 34}{space 2} .1033199{col 45}{space 1}    0.05{col 54}{space 3}0.961{col 62}{space 4}-.1974701{col 75}{space 3} .2075363
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .9166856{col 34}{space 2}  .402027{col 45}{space 1}    2.28{col 54}{space 3}0.023{col 62}{space 4} .1287271{col 75}{space 3} 1.704644
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} 1.949696{col 34}{space 2} 3.011231{col 45}{space 1}    0.65{col 54}{space 3}0.517{col 62}{space 4}-3.952208{col 75}{space 3} 7.851601
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.0107191{col 34}{space 2} 1.178961{col 45}{space 1}   -0.01{col 54}{space 3}0.993{col 62}{space 4} -2.32144{col 75}{space 3} 2.300002
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.0924073{col 34}{space 2}   .47464{col 45}{space 1}   -0.19{col 54}{space 3}0.846{col 62}{space 4}-1.022685{col 75}{space 3} .8378699
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .8684107{col 34}{space 2} .3698786{col 45}{space 1}    2.35{col 54}{space 3}0.019{col 62}{space 4} .1434619{col 75}{space 3} 1.593359
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-2.720393{col 34}{space 2} 1.260696{col 45}{space 1}   -2.16{col 54}{space 3}0.031{col 62}{space 4}-5.191313{col 75}{space 3}-.2494738
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0244281{col 34}{space 2} .0666215{col 45}{space 1}   -0.37{col 54}{space 3}0.714{col 62}{space 4}-.1550038{col 75}{space 3} .1061476
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.619619{col 34}{space 2} 1.126927{col 45}{space 1}   -1.44{col 54}{space 3}0.151{col 62}{space 4}-3.828356{col 75}{space 3} .5891183
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .1135931{col 34}{space 2} .3098905{col 45}{space 1}    0.37{col 54}{space 3}0.714{col 62}{space 4}-.4937811{col 75}{space 3} .7209672
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .4592963{col 34}{space 2} .2439536{col 45}{space 1}    1.88{col 54}{space 3}0.060{col 62}{space 4}-.0188439{col 75}{space 3} .9374365
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} -.992088{col 34}{space 2} .4964098{col 45}{space 1}   -2.00{col 54}{space 3}0.046{col 62}{space 4}-1.965033{col 75}{space 3}-.0191427
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0290842{col 34}{space 2} .0424186{col 45}{space 1}    0.69{col 54}{space 3}0.493{col 62}{space 4}-.0540547{col 75}{space 3} .1122231
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.8879506{col 34}{space 2} .4550549{col 45}{space 1}   -1.95{col 54}{space 3}0.051{col 62}{space 4}-1.779842{col 75}{space 3} .0039406
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.795506{col 34}{space 2} .9965935{col 45}{space 1}   -1.80{col 54}{space 3}0.072{col 62}{space 4}-3.748793{col 75}{space 3} .1577816
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.129198{col 34}{space 2} .6220674{col 45}{space 1}   -1.82{col 54}{space 3}0.069{col 62}{space 4}-2.348428{col 75}{space 3} .0900312
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H2ATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    4.33
{txt}{col 10}Prob > chi2 =  {res}  0.1147
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
. eteffects (intrep_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagintrep_prop   fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= 0.243207 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.497e-13}  
Iteration 1:{space 3}EE criterion = {res: 8.851e-21}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       151
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .3505194{col 34}{space 2} .0998264{col 45}{space 1}    3.51{col 54}{space 3}0.000{col 62}{space 4} .1548632{col 75}{space 3} .5461756
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .0801578{col 34}{space 2}  .077054{col 45}{space 1}    1.04{col 54}{space 3}0.298{col 62}{space 4}-.0708652{col 75}{space 3} .2311808
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H2ATET
{txt}
{com}. *
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** MODERATE ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON INTERTERCILE RANGE [fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207] ***  
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (intrep_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagintrep_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >=             -0.0520733 & fairnessgsem < 0.243207 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 2.104e-16}  
Iteration 1:{space 3}EE criterion = {res: 1.206e-29}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       151
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .0567917{col 34}{space 2} .0557948{col 45}{space 1}    1.02{col 54}{space 3}0.309{col 62}{space 4}-.0525641{col 75}{space 3} .1661476
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .3197858{col 34}{space 2}    .0395{col 45}{space 1}    8.10{col 54}{space 3}0.000{col 62}{space 4} .2423672{col 75}{space 3} .3972043
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagintrep_prop {c |}{col 22}{res}{space 2} .5907839{col 34}{space 2} .9498662{col 45}{space 1}    0.62{col 54}{space 3}0.534{col 62}{space 4} -1.27092{col 75}{space 3} 2.452487
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2} 2.432182{col 34}{space 2} 1.461737{col 45}{space 1}    1.66{col 54}{space 3}0.096{col 62}{space 4}-.4327708{col 75}{space 3} 5.297134
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.3139868{col 34}{space 2} .4726965{col 45}{space 1}   -0.66{col 54}{space 3}0.507{col 62}{space 4}-1.240455{col 75}{space 3} .6124815
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.6456644{col 34}{space 2} .3412543{col 45}{space 1}   -1.89{col 54}{space 3}0.058{col 62}{space 4}-1.314511{col 75}{space 3} .0231818
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0156097{col 34}{space 2} .1187755{col 45}{space 1}   -0.13{col 54}{space 3}0.895{col 62}{space 4}-.2484055{col 75}{space 3}  .217186
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} 1.172452{col 34}{space 2} .4111201{col 45}{space 1}    2.85{col 54}{space 3}0.004{col 62}{space 4} .3666713{col 75}{space 3} 1.978233
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-8.109303{col 34}{space 2} 3.685724{col 45}{space 1}   -2.20{col 54}{space 3}0.028{col 62}{space 4}-15.33319{col 75}{space 3}-.8854165
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .1134893{col 34}{space 2} 1.223061{col 45}{space 1}    0.09{col 54}{space 3}0.926{col 62}{space 4}-2.283666{col 75}{space 3} 2.510645
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.4726915{col 34}{space 2} .5951127{col 45}{space 1}   -0.79{col 54}{space 3}0.427{col 62}{space 4}-1.639091{col 75}{space 3}  .693708
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.0254632{col 34}{space 2} .1589722{col 45}{space 1}   -0.16{col 54}{space 3}0.873{col 62}{space 4} -.337043{col 75}{space 3} .2861165
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .0567825{col 34}{space 2} .0512662{col 45}{space 1}    1.11{col 54}{space 3}0.268{col 62}{space 4}-.0436974{col 75}{space 3} .1572624
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}  .002655{col 34}{space 2} .0592739{col 45}{space 1}    0.04{col 54}{space 3}0.964{col 62}{space 4}-.1135198{col 75}{space 3} .1188298
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.195317{col 34}{space 2} .4235565{col 45}{space 1}   -2.82{col 54}{space 3}0.005{col 62}{space 4}-2.025472{col 75}{space 3}-.3651613
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.1603875{col 34}{space 2} .5088181{col 45}{space 1}   -0.32{col 54}{space 3}0.753{col 62}{space 4}-1.157653{col 75}{space 3} .8368776
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.1044134{col 34}{space 2} .1169855{col 45}{space 1}   -0.89{col 54}{space 3}0.372{col 62}{space 4}-.3337007{col 75}{space 3} .1248739
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.4652748{col 34}{space 2} .2142934{col 45}{space 1}   -2.17{col 54}{space 3}0.030{col 62}{space 4}-.8852822{col 75}{space 3}-.0452674
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0197531{col 34}{space 2} .0383284{col 45}{space 1}   -0.52{col 54}{space 3}0.606{col 62}{space 4}-.0948754{col 75}{space 3} .0553692
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  -.53341{col 34}{space 2} .3882476{col 45}{space 1}   -1.37{col 54}{space 3}0.169{col 62}{space 4}-1.294361{col 75}{space 3} .2275414
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.8163475{col 34}{space 2} .3403686{col 45}{space 1}   -2.40{col 54}{space 3}0.016{col 62}{space 4}-1.483458{col 75}{space 3}-.1492373
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2} .3379488{col 34}{space 2} .3361786{col 45}{space 1}    1.01{col 54}{space 3}0.315{col 62}{space 4}-.3209491{col 75}{space 3} .9968467
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H2ATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    5.93
{txt}{col 10}Prob > chi2 =  {res}  0.0516
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (intrep_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagintrep_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >=             -0.0520733 & fairnessgsem < 0.243207 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 2.104e-16}  
Iteration 1:{space 3}EE criterion = {res: 9.116e-30}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       151
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .2126772{col 34}{space 2}  .075317{col 45}{space 1}    2.82{col 54}{space 3}0.005{col 62}{space 4} .0650587{col 75}{space 3} .3602957
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2195809{col 34}{space 2} .0689219{col 45}{space 1}    3.19{col 54}{space 3}0.001{col 62}{space 4} .0844965{col 75}{space 3} .3546652
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H2ATET
{txt}
{com}. *
.  
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** LOW ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON LOWER TERCILE [fairnessgsem < -0.0520733]; OTHERWISE = 0 ** 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (intrep_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagintrep_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem <              -0.0520733 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.831e-16}  
Iteration 1:{space 3}EE criterion = {res: 3.569e-29}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       159
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:130} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .3683402{col 34}{space 2}  .223851{col 45}{space 1}    1.65{col 54}{space 3}0.100{col 62}{space 4}-.0703997{col 75}{space 3} .8070802
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2878728{col 34}{space 2} .0552118{col 45}{space 1}    5.21{col 54}{space 3}0.000{col 62}{space 4} .1796596{col 75}{space 3} .3960859
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagintrep_prop {c |}{col 22}{res}{space 2} 1.974832{col 34}{space 2} .7942129{col 45}{space 1}    2.49{col 54}{space 3}0.013{col 62}{space 4} .4182033{col 75}{space 3} 3.531461
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.9183363{col 34}{space 2} .8832812{col 45}{space 1}   -1.04{col 54}{space 3}0.298{col 62}{space 4}-2.649536{col 75}{space 3} .8128631
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.5957593{col 34}{space 2} .4381004{col 45}{space 1}   -1.36{col 54}{space 3}0.174{col 62}{space 4} -1.45442{col 75}{space 3} .2629018
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0040996{col 34}{space 2} .1347177{col 45}{space 1}   -0.03{col 54}{space 3}0.976{col 62}{space 4}-.2681414{col 75}{space 3} .2599422
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}   .12633{col 34}{space 2} .1173589{col 45}{space 1}    1.08{col 54}{space 3}0.282{col 62}{space 4}-.1036892{col 75}{space 3} .3563491
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .5821312{col 34}{space 2}   .45367{col 45}{space 1}    1.28{col 54}{space 3}0.199{col 62}{space 4}-.3070457{col 75}{space 3} 1.471308
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} 1.450534{col 34}{space 2} 3.198119{col 45}{space 1}    0.45{col 54}{space 3}0.650{col 62}{space 4}-4.817665{col 75}{space 3} 7.718733
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.830176{col 34}{space 2} 1.198281{col 45}{space 1}   -1.53{col 54}{space 3}0.127{col 62}{space 4}-4.178764{col 75}{space 3} .5184128
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .9096539{col 34}{space 2} .4556269{col 45}{space 1}    2.00{col 54}{space 3}0.046{col 62}{space 4} .0166417{col 75}{space 3} 1.802666
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .1298011{col 34}{space 2} .2015965{col 45}{space 1}    0.64{col 54}{space 3}0.520{col 62}{space 4}-.2653208{col 75}{space 3} .5249231
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .0604713{col 34}{space 2}  .051128{col 45}{space 1}    1.18{col 54}{space 3}0.237{col 62}{space 4}-.0397378{col 75}{space 3} .1606804
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0123418{col 34}{space 2} .0574226{col 45}{space 1}   -0.21{col 54}{space 3}0.830{col 62}{space 4} -.124888{col 75}{space 3} .1002043
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.128981{col 34}{space 2} .5496067{col 45}{space 1}   -2.05{col 54}{space 3}0.040{col 62}{space 4} -2.20619{col 75}{space 3}-.0517719
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .2243964{col 34}{space 2}  .373973{col 45}{space 1}    0.60{col 54}{space 3}0.548{col 62}{space 4}-.5085772{col 75}{space 3}   .95737
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .2365908{col 34}{space 2} .1780226{col 45}{space 1}    1.33{col 54}{space 3}0.184{col 62}{space 4} -.112327{col 75}{space 3} .5855086
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0297872{col 34}{space 2} .0372966{col 45}{space 1}   -0.80{col 54}{space 3}0.424{col 62}{space 4}-.1028872{col 75}{space 3} .0433127
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}   .01545{col 34}{space 2} .0477539{col 45}{space 1}    0.32{col 54}{space 3}0.746{col 62}{space 4}-.0781458{col 75}{space 3} .1090459
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.7045535{col 34}{space 2} .5421968{col 45}{space 1}   -1.30{col 54}{space 3}0.194{col 62}{space 4} -1.76724{col 75}{space 3} .3581326
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.7726793{col 34}{space 2} .5127305{col 45}{space 1}   -1.51{col 54}{space 3}0.132{col 62}{space 4}-1.777613{col 75}{space 3} .2322541
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.7454927{col 34}{space 2} .4808735{col 45}{space 1}   -1.55{col 54}{space 3}0.121{col 62}{space 4}-1.687987{col 75}{space 3}  .197002
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store L_H2ATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    3.75
{txt}{col 10}Prob > chi2 =  {res}  0.1535
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (intrep_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagintrep_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem <              -0.0520733 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.831e-16}  
Iteration 1:{space 3}EE criterion = {res: 1.787e-29}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       159
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:130} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .2561426{col 34}{space 2} .1069029{col 45}{space 1}    2.40{col 54}{space 3}0.017{col 62}{space 4} .0466167{col 75}{space 3} .4656685
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1907358{col 34}{space 2} .0956108{col 45}{space 1}    1.99{col 54}{space 3}0.046{col 62}{space 4} .0033421{col 75}{space 3} .3781294
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store L_H2ATET
{txt}
{com}. *
.  
. 
.  
. 
. 
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. **** TESTING H3.A:  ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON PROPORTION OF WITHDRAWN PRIVATE RESOLUTIONS WITHIN AGENCY  ****
. **** [I.E., (# WITHDRAWN) / (# SETTLEMENTS + # WITHDRAWN + # FORMAL COMPLAINTS FILED) DISCRIMINATION CASES] ****
. 
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. ** HIGH ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON UPPER TERCILE [fairnessgsem >= 0.243207] ** 
. 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (withdraw_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagwithdraw_prop   fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= 0.243207 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.274e-17}  
Iteration 1:{space 3}EE criterion = {res: 4.267e-32}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       151
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .4306631{col 34}{space 2} .2266127{col 45}{space 1}    1.90{col 54}{space 3}0.057{col 62}{space 4}-.0134896{col 75}{space 3} .8748158
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1060998{col 34}{space 2} .0456415{col 45}{space 1}    2.32{col 54}{space 3}0.020{col 62}{space 4} .0166442{col 75}{space 3} .1955555
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 4}lagwithdraw_prop {c |}{col 22}{res}{space 2} .2652536{col 34}{space 2} .6158505{col 45}{space 1}    0.43{col 54}{space 3}0.667{col 62}{space 4}-.9417912{col 75}{space 3} 1.472298
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.0598622{col 34}{space 2} .6849373{col 45}{space 1}   -0.09{col 54}{space 3}0.930{col 62}{space 4}-1.402315{col 75}{space 3}  1.28259
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.8004634{col 34}{space 2} .4890143{col 45}{space 1}   -1.64{col 54}{space 3}0.102{col 62}{space 4}-1.758914{col 75}{space 3} .1579871
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} 2.169462{col 34}{space 2}  1.23503{col 45}{space 1}    1.76{col 54}{space 3}0.079{col 62}{space 4}-.2511521{col 75}{space 3} 4.590076
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0203148{col 34}{space 2} .1061666{col 45}{space 1}    0.19{col 54}{space 3}0.848{col 62}{space 4}-.1877679{col 75}{space 3} .2283975
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .9211846{col 34}{space 2} .4057003{col 45}{space 1}    2.27{col 54}{space 3}0.023{col 62}{space 4} .1260265{col 75}{space 3} 1.716343
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} 2.451174{col 34}{space 2} 3.073702{col 45}{space 1}    0.80{col 54}{space 3}0.425{col 62}{space 4} -3.57317{col 75}{space 3} 8.475519
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .0342858{col 34}{space 2}  1.17913{col 45}{space 1}    0.03{col 54}{space 3}0.977{col 62}{space 4}-2.276766{col 75}{space 3} 2.345337
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.0775395{col 34}{space 2} .6918347{col 45}{space 1}   -0.11{col 54}{space 3}0.911{col 62}{space 4}-1.433511{col 75}{space 3} 1.278432
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .9575692{col 34}{space 2} .5465685{col 45}{space 1}    1.75{col 54}{space 3}0.080{col 62}{space 4}-.1136854{col 75}{space 3} 2.028824
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-3.384825{col 34}{space 2} 1.701187{col 45}{space 1}   -1.99{col 54}{space 3}0.047{col 62}{space 4} -6.71909{col 75}{space 3}  -.05056
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0350063{col 34}{space 2}  .110055{col 45}{space 1}   -0.32{col 54}{space 3}0.750{col 62}{space 4}-.2507101{col 75}{space 3} .1806975
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  -2.2439{col 34}{space 2}  1.80946{col 45}{space 1}   -1.24{col 54}{space 3}0.215{col 62}{space 4}-5.790376{col 75}{space 3} 1.302576
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.0957194{col 34}{space 2} .4451854{col 45}{space 1}   -0.22{col 54}{space 3}0.830{col 62}{space 4}-.9682667{col 75}{space 3} .7768279
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .4463705{col 34}{space 2} .3121581{col 45}{space 1}    1.43{col 54}{space 3}0.153{col 62}{space 4} -.165448{col 75}{space 3} 1.058189
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.8964379{col 34}{space 2} .6444787{col 45}{space 1}   -1.39{col 54}{space 3}0.164{col 62}{space 4}-2.159593{col 75}{space 3} .3667172
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0081721{col 34}{space 2} .0466488{col 45}{space 1}    0.18{col 54}{space 3}0.861{col 62}{space 4}-.0832578{col 75}{space 3}  .099602
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.8411744{col 34}{space 2} .4894526{col 45}{space 1}   -1.72{col 54}{space 3}0.086{col 62}{space 4}-1.800484{col 75}{space 3} .1181351
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-2.665215{col 34}{space 2} 1.432517{col 45}{space 1}   -1.86{col 54}{space 3}0.063{col 62}{space 4}-5.472896{col 75}{space 3} .1424671
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.354838{col 34}{space 2} .7283963{col 45}{space 1}   -1.86{col 54}{space 3}0.063{col 62}{space 4}-2.782468{col 75}{space 3} .0727928
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H3aATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    4.75
{txt}{col 10}Prob > chi2 =  {res}  0.0928
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
. eteffects (withdraw_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagwithdraw_prop   fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= 0.243207 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.274e-17}  
Iteration 1:{space 3}EE criterion = {res: 2.376e-32}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       151
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .3063967{col 34}{space 2} .0640824{col 45}{space 1}    4.78{col 54}{space 3}0.000{col 62}{space 4} .1807975{col 75}{space 3} .4319959
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .0291734{col 34}{space 2}  .041372{col 45}{space 1}    0.71{col 54}{space 3}0.481{col 62}{space 4}-.0519143{col 75}{space 3} .1102612
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H3aATET
{txt}
{com}. *
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** MODERATE ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON INTERTERCILE RANGE [fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207] ***  
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (withdraw_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagwithdraw_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >=           -0.0520733 & fairnessgsem < 0.243207 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 5.957e-17}  
Iteration 1:{space 3}EE criterion = {res: 8.523e-30}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       151
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .0469017{col 34}{space 2} .0700513{col 45}{space 1}    0.67{col 54}{space 3}0.503{col 62}{space 4}-.0903963{col 75}{space 3} .1841998
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2965375{col 34}{space 2}  .040699{col 45}{space 1}    7.29{col 54}{space 3}0.000{col 62}{space 4} .2167689{col 75}{space 3}  .376306
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 4}lagwithdraw_prop {c |}{col 22}{res}{space 2} 1.793343{col 34}{space 2} 1.030654{col 45}{space 1}    1.74{col 54}{space 3}0.082{col 62}{space 4}-.2267014{col 75}{space 3} 3.813386
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2} 2.501656{col 34}{space 2} 1.492222{col 45}{space 1}    1.68{col 54}{space 3}0.094{col 62}{space 4}-.4230448{col 75}{space 3} 5.426356
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.3406802{col 34}{space 2} .4774798{col 45}{space 1}   -0.71{col 54}{space 3}0.476{col 62}{space 4}-1.276523{col 75}{space 3}  .595163
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.6714428{col 34}{space 2} .3295394{col 45}{space 1}   -2.04{col 54}{space 3}0.042{col 62}{space 4}-1.317328{col 75}{space 3}-.0255575
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0352109{col 34}{space 2}  .121032{col 45}{space 1}   -0.29{col 54}{space 3}0.771{col 62}{space 4}-.2724293{col 75}{space 3} .2020075
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} 1.216314{col 34}{space 2} .4318482{col 45}{space 1}    2.82{col 54}{space 3}0.005{col 62}{space 4} .3699071{col 75}{space 3} 2.062721
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-9.096861{col 34}{space 2} 3.367567{col 45}{space 1}   -2.70{col 54}{space 3}0.007{col 62}{space 4}-15.69717{col 75}{space 3}-2.496551
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}   -.0352{col 34}{space 2} 1.203494{col 45}{space 1}   -0.03{col 54}{space 3}0.977{col 62}{space 4}-2.394005{col 75}{space 3} 2.323605
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.3691561{col 34}{space 2} .6228899{col 45}{space 1}   -0.59{col 54}{space 3}0.553{col 62}{space 4}-1.589998{col 75}{space 3} .8516857
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.1697546{col 34}{space 2} .1034518{col 45}{space 1}   -1.64{col 54}{space 3}0.101{col 62}{space 4}-.3725164{col 75}{space 3} .0330072
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .1057892{col 34}{space 2} .0302241{col 45}{space 1}    3.50{col 54}{space 3}0.000{col 62}{space 4} .0465511{col 75}{space 3} .1650273
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .1226707{col 34}{space 2} .0738379{col 45}{space 1}    1.66{col 54}{space 3}0.097{col 62}{space 4}-.0220489{col 75}{space 3} .2673904
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-2.203342{col 34}{space 2}  .541219{col 45}{space 1}   -4.07{col 54}{space 3}0.000{col 62}{space 4}-3.264112{col 75}{space 3}-1.142572
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.3078003{col 34}{space 2} .6102466{col 45}{space 1}   -0.50{col 54}{space 3}0.614{col 62}{space 4}-1.503862{col 75}{space 3} .8882611
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.0303917{col 34}{space 2} .1418682{col 45}{space 1}   -0.21{col 54}{space 3}0.830{col 62}{space 4}-.3084482{col 75}{space 3} .2476649
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.3548917{col 34}{space 2}  .279465{col 45}{space 1}   -1.27{col 54}{space 3}0.204{col 62}{space 4} -.902633{col 75}{space 3} .1928496
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0438816{col 34}{space 2} .0445846{col 45}{space 1}   -0.98{col 54}{space 3}0.325{col 62}{space 4}-.1312659{col 75}{space 3} .0435026
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.4857055{col 34}{space 2} .4584487{col 45}{space 1}   -1.06{col 54}{space 3}0.289{col 62}{space 4}-1.384248{col 75}{space 3} .4128374
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.2107708{col 34}{space 2} .3418528{col 45}{space 1}   -0.62{col 54}{space 3}0.538{col 62}{space 4}  -.88079{col 75}{space 3} .4592483
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2} .0844301{col 34}{space 2} .4364417{col 45}{space 1}    0.19{col 54}{space 3}0.847{col 62}{space 4}  -.77098{col 75}{space 3} .9398402
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H3aATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    0.41
{txt}{col 10}Prob > chi2 =  {res}  0.8164
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (withdraw_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagwithdraw_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >=           -0.0520733 & fairnessgsem < 0.243207 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 5.957e-17}  
Iteration 1:{space 3}EE criterion = {res: 4.151e-30}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       151
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .0819438{col 34}{space 2} .0788651{col 45}{space 1}    1.04{col 54}{space 3}0.299{col 62}{space 4} -.072629{col 75}{space 3} .2365165
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2763031{col 34}{space 2} .0787739{col 45}{space 1}    3.51{col 54}{space 3}0.000{col 62}{space 4} .1219092{col 75}{space 3} .4306971
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H3aATET
{txt}
{com}. *
.  
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** LOW ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON LOWER TERCILE [fairnessgsem < -0.0520733]; OTHERWISE = 0 ** 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (withdraw_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagwithdraw_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem <            -0.0520733 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 9.204e-14}  
Iteration 1:{space 3}EE criterion = {res: 3.562e-24}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       159
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:130} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .3539001{col 34}{space 2}  .354864{col 45}{space 1}    1.00{col 54}{space 3}0.319{col 62}{space 4}-.3416206{col 75}{space 3} 1.049421
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2126563{col 34}{space 2} .0439213{col 45}{space 1}    4.84{col 54}{space 3}0.000{col 62}{space 4} .1265721{col 75}{space 3} .2987406
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 4}lagwithdraw_prop {c |}{col 22}{res}{space 2} 1.050015{col 34}{space 2} .8326109{col 45}{space 1}    1.26{col 54}{space 3}0.207{col 62}{space 4}-.5818724{col 75}{space 3} 2.681903
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.7390204{col 34}{space 2} .8670585{col 45}{space 1}   -0.85{col 54}{space 3}0.394{col 62}{space 4}-2.438424{col 75}{space 3}  .960383
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.5922402{col 34}{space 2} .4322511{col 45}{space 1}   -1.37{col 54}{space 3}0.171{col 62}{space 4}-1.439437{col 75}{space 3} .2549564
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0018291{col 34}{space 2} .1346866{col 45}{space 1}   -0.01{col 54}{space 3}0.989{col 62}{space 4}-.2658099{col 75}{space 3} .2621518
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .1288465{col 34}{space 2} .1205079{col 45}{space 1}    1.07{col 54}{space 3}0.285{col 62}{space 4}-.1073447{col 75}{space 3} .3650377
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .6335953{col 34}{space 2} .4715705{col 45}{space 1}    1.34{col 54}{space 3}0.179{col 62}{space 4}-.2906659{col 75}{space 3} 1.557856
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} 1.753444{col 34}{space 2} 3.335676{col 45}{space 1}    0.53{col 54}{space 3}0.599{col 62}{space 4}-4.784362{col 75}{space 3} 8.291249
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.338678{col 34}{space 2} 1.182307{col 45}{space 1}   -1.13{col 54}{space 3}0.258{col 62}{space 4}-3.655956{col 75}{space 3}    .9786
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .8301741{col 34}{space 2}  .442783{col 45}{space 1}    1.87{col 54}{space 3}0.061{col 62}{space 4}-.0376645{col 75}{space 3} 1.698013
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .2459268{col 34}{space 2} .2505573{col 45}{space 1}    0.98{col 54}{space 3}0.326{col 62}{space 4}-.2451565{col 75}{space 3} .7370102
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .0748335{col 34}{space 2} .0558796{col 45}{space 1}    1.34{col 54}{space 3}0.181{col 62}{space 4}-.0346886{col 75}{space 3} .1843555
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0943194{col 34}{space 2} .0460816{col 45}{space 1}    2.05{col 54}{space 3}0.041{col 62}{space 4} .0040011{col 75}{space 3} .1846378
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} -2.45352{col 34}{space 2} .5612968{col 45}{space 1}   -4.37{col 54}{space 3}0.000{col 62}{space 4}-3.553641{col 75}{space 3}-1.353398
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .0440712{col 34}{space 2} .5318469{col 45}{space 1}    0.08{col 54}{space 3}0.934{col 62}{space 4}-.9983296{col 75}{space 3} 1.086472
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .2305701{col 34}{space 2} .2499733{col 45}{space 1}    0.92{col 54}{space 3}0.356{col 62}{space 4}-.2593685{col 75}{space 3} .7205087
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0332526{col 34}{space 2} .0477484{col 45}{space 1}   -0.70{col 54}{space 3}0.486{col 62}{space 4}-.1268379{col 75}{space 3} .0603326
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0303896{col 34}{space 2} .0578485{col 45}{space 1}    0.53{col 54}{space 3}0.599{col 62}{space 4}-.0829914{col 75}{space 3} .1437707
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.035735{col 34}{space 2} .7939603{col 45}{space 1}   -1.30{col 54}{space 3}0.192{col 62}{space 4}-2.591869{col 75}{space 3} .5203982
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.7264959{col 34}{space 2} .4715796{col 45}{space 1}   -1.54{col 54}{space 3}0.123{col 62}{space 4}-1.650775{col 75}{space 3}  .197783
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.8500051{col 34}{space 2} .8783314{col 45}{space 1}   -0.97{col 54}{space 3}0.333{col 62}{space 4}-2.571503{col 75}{space 3} .8714929
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store L_H3aATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    2.45
{txt}{col 10}Prob > chi2 =  {res}  0.2932
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (withdraw_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagwithdraw_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem <            -0.0520733 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 9.204e-14}  
Iteration 1:{space 3}EE criterion = {res: 3.108e-24}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       159
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:130} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .2150041{col 34}{space 2} .0862509{col 45}{space 1}    2.49{col 54}{space 3}0.013{col 62}{space 4} .0459555{col 75}{space 3} .3840528
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1455115{col 34}{space 2} .0714812{col 45}{space 1}    2.04{col 54}{space 3}0.042{col 62}{space 4} .0054109{col 75}{space 3} .2856122
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store L_H3aATET
{txt}
{com}. *
.  
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. **** TESTING H3.B: ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON PROPORTION OF SETTLEMENT PRIVATE RESOLUTIONS WITHIN AGENCY  ****
. **** [I.E., (# SETTLEMENTS) / (# SETTLEMENTS + # WITHDRAWN + # FORMAL COMPLAINTS FILED) DISCRIMINATION CASES] ****
. 
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. ** HIGH ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON UPPER TERCILE [fairnessgsem >= 0.243207] ** 
. 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (settle_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagsettle_prop   fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= 0.243207 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 4.028e-14}  
Iteration 1:{space 3}EE criterion = {res: 7.920e-20}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       151
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2}-.0254031{col 34}{space 2} .3106816{col 45}{space 1}   -0.08{col 54}{space 3}0.935{col 62}{space 4}-.6343279{col 75}{space 3} .5835216
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1349514{col 34}{space 2}  .295351{col 45}{space 1}    0.46{col 54}{space 3}0.648{col 62}{space 4}-.4439259{col 75}{space 3} .7138288
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagsettle_prop {c |}{col 22}{res}{space 2}  1.38064{col 34}{space 2} 1.513786{col 45}{space 1}    0.91{col 54}{space 3}0.362{col 62}{space 4}-1.586325{col 75}{space 3} 4.347606
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.1333687{col 34}{space 2} .7001359{col 45}{space 1}   -0.19{col 54}{space 3}0.849{col 62}{space 4} -1.50561{col 75}{space 3} 1.238872
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.8709844{col 34}{space 2} .5214086{col 45}{space 1}   -1.67{col 54}{space 3}0.095{col 62}{space 4}-1.892926{col 75}{space 3} .1509576
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} 2.398052{col 34}{space 2} 1.322058{col 45}{space 1}    1.81{col 54}{space 3}0.070{col 62}{space 4}-.1931348{col 75}{space 3} 4.989238
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0031144{col 34}{space 2} .1052284{col 45}{space 1}    0.03{col 54}{space 3}0.976{col 62}{space 4}-.2031295{col 75}{space 3} .2093583
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .9682216{col 34}{space 2} .4321789{col 45}{space 1}    2.24{col 54}{space 3}0.025{col 62}{space 4} .1211664{col 75}{space 3} 1.815277
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} 2.845405{col 34}{space 2} 3.373853{col 45}{space 1}    0.84{col 54}{space 3}0.399{col 62}{space 4}-3.767225{col 75}{space 3} 9.458034
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .1284033{col 34}{space 2} 1.156612{col 45}{space 1}    0.11{col 54}{space 3}0.912{col 62}{space 4}-2.138514{col 75}{space 3}  2.39532
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.3351509{col 34}{space 2} 1.495182{col 45}{space 1}   -0.22{col 54}{space 3}0.823{col 62}{space 4}-3.265654{col 75}{space 3} 2.595353
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .9614769{col 34}{space 2} .7118517{col 45}{space 1}    1.35{col 54}{space 3}0.177{col 62}{space 4}-.4337267{col 75}{space 3} 2.356681
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-2.175566{col 34}{space 2} 3.289947{col 45}{space 1}   -0.66{col 54}{space 3}0.508{col 62}{space 4}-8.623743{col 75}{space 3} 4.272611
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .1507353{col 34}{space 2} .2214713{col 45}{space 1}    0.68{col 54}{space 3}0.496{col 62}{space 4}-.2833404{col 75}{space 3} .5848111
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-3.210729{col 34}{space 2} 3.169647{col 45}{space 1}   -1.01{col 54}{space 3}0.311{col 62}{space 4}-9.423122{col 75}{space 3} 3.001664
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .8568706{col 34}{space 2}  .697856{col 45}{space 1}    1.23{col 54}{space 3}0.219{col 62}{space 4}-.5109021{col 75}{space 3} 2.224643
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .4741014{col 34}{space 2} .4352458{col 45}{space 1}    1.09{col 54}{space 3}0.276{col 62}{space 4}-.3789648{col 75}{space 3} 1.327168
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-1.397111{col 34}{space 2} 1.138027{col 45}{space 1}   -1.23{col 54}{space 3}0.220{col 62}{space 4}-3.627603{col 75}{space 3} .8333822
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .1109474{col 34}{space 2} .0850712{col 45}{space 1}    1.30{col 54}{space 3}0.192{col 62}{space 4}-.0557891{col 75}{space 3}  .277684
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-3.469831{col 34}{space 2} .9663381{col 45}{space 1}   -3.59{col 54}{space 3}0.000{col 62}{space 4}-5.363818{col 75}{space 3}-1.575843
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}  .651508{col 34}{space 2} 2.735583{col 45}{space 1}    0.24{col 54}{space 3}0.812{col 62}{space 4}-4.710136{col 75}{space 3} 6.013152
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.4697026{col 34}{space 2} .9200488{col 45}{space 1}   -0.51{col 54}{space 3}0.610{col 62}{space 4}-2.272965{col 75}{space 3}  1.33356
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H3bATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    0.43
{txt}{col 10}Prob > chi2 =  {res}  0.8075
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
. eteffects (settle_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagsettle_prop   fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= 0.243207 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 4.028e-14}  
Iteration 1:{space 3}EE criterion = {res: 7.884e-20}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       151
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2}-.0512085{col 34}{space 2} .3895649{col 45}{space 1}   -0.13{col 54}{space 3}0.895{col 62}{space 4}-.8147417{col 75}{space 3} .7123247
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1463076{col 34}{space 2}  .385218{col 45}{space 1}    0.38{col 54}{space 3}0.704{col 62}{space 4}-.6087059{col 75}{space 3} .9013211
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H3bATET
{txt}
{com}. *
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** MODERATE ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON INTERTERCILE RANGE [fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207] ***  
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (settle_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagsettle_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >=             -0.0520733 & fairnessgsem < 0.243207 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 6.549e-12}  
Iteration 1:{space 3}EE criterion = {res: 3.087e-18}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       151
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2}-.1486695{col 34}{space 2} .1944488{col 45}{space 1}   -0.76{col 54}{space 3}0.445{col 62}{space 4}-.5297821{col 75}{space 3} .2324431
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1980841{col 34}{space 2} .1891342{col 45}{space 1}    1.05{col 54}{space 3}0.295{col 62}{space 4}-.1726121{col 75}{space 3} .5687804
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagsettle_prop {c |}{col 22}{res}{space 2}-2.147769{col 34}{space 2} 1.464899{col 45}{space 1}   -1.47{col 54}{space 3}0.143{col 62}{space 4}-5.018919{col 75}{space 3} .7233808
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2} 2.415301{col 34}{space 2} 1.531026{col 45}{space 1}    1.58{col 54}{space 3}0.115{col 62}{space 4}-.5854542{col 75}{space 3} 5.416056
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.3576373{col 34}{space 2} .4772031{col 45}{space 1}   -0.75{col 54}{space 3}0.454{col 62}{space 4}-1.292938{col 75}{space 3} .5776636
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} -.695763{col 34}{space 2} .4792318{col 45}{space 1}   -1.45{col 54}{space 3}0.147{col 62}{space 4} -1.63504{col 75}{space 3} .2435141
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0017507{col 34}{space 2} .1187938{col 45}{space 1}   -0.01{col 54}{space 3}0.988{col 62}{space 4}-.2345822{col 75}{space 3} .2310808
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2}  1.15621{col 34}{space 2} .4080901{col 45}{space 1}    2.83{col 54}{space 3}0.005{col 62}{space 4} .3563679{col 75}{space 3} 1.956052
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-7.674688{col 34}{space 2} 3.842251{col 45}{space 1}   -2.00{col 54}{space 3}0.046{col 62}{space 4}-15.20536{col 75}{space 3}-.1440153
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .4776005{col 34}{space 2} 1.200052{col 45}{space 1}    0.40{col 54}{space 3}0.691{col 62}{space 4}-1.874458{col 75}{space 3} 2.829659
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .9693752{col 34}{space 2} 2.055893{col 45}{space 1}    0.47{col 54}{space 3}0.637{col 62}{space 4}-3.060102{col 75}{space 3} 4.998852
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.0614792{col 34}{space 2} .4260272{col 45}{space 1}   -0.14{col 54}{space 3}0.885{col 62}{space 4}-.8964771{col 75}{space 3} .7735188
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.3544924{col 34}{space 2} .2319084{col 45}{space 1}   -1.53{col 54}{space 3}0.126{col 62}{space 4}-.8090245{col 75}{space 3} .1000397
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.1947848{col 34}{space 2} .1779014{col 45}{space 1}   -1.09{col 54}{space 3}0.274{col 62}{space 4}-.5434651{col 75}{space 3} .1538956
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .0623616{col 34}{space 2} 1.368827{col 45}{space 1}    0.05{col 54}{space 3}0.964{col 62}{space 4} -2.62049{col 75}{space 3} 2.745213
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .4502997{col 34}{space 2}  1.53795{col 45}{space 1}    0.29{col 54}{space 3}0.770{col 62}{space 4}-2.564027{col 75}{space 3} 3.464627
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.4347337{col 34}{space 2} .6084131{col 45}{space 1}   -0.71{col 54}{space 3}0.475{col 62}{space 4}-1.627201{col 75}{space 3} .7577341
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-1.212854{col 34}{space 2} 1.152449{col 45}{space 1}   -1.05{col 54}{space 3}0.293{col 62}{space 4}-3.471613{col 75}{space 3} 1.045905
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0864972{col 34}{space 2} .1265014{col 45}{space 1}    0.68{col 54}{space 3}0.494{col 62}{space 4}-.1614409{col 75}{space 3} .3344354
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-3.254539{col 34}{space 2} 1.601953{col 45}{space 1}   -2.03{col 54}{space 3}0.042{col 62}{space 4} -6.39431{col 75}{space 3}-.1147687
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2} 1.004603{col 34}{space 2} 1.377683{col 45}{space 1}    0.73{col 54}{space 3}0.466{col 62}{space 4}-1.695606{col 75}{space 3} 3.704811
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2} 1.343092{col 34}{space 2} 1.115522{col 45}{space 1}    1.20{col 54}{space 3}0.229{col 62}{space 4}-.8432908{col 75}{space 3} 3.529475
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H3bATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    1.51
{txt}{col 10}Prob > chi2 =  {res}  0.4689
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (settle_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagsettle_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >=             -0.0520733 & fairnessgsem < 0.243207 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 6.549e-12}  
Iteration 1:{space 3}EE criterion = {res: 2.418e-18}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       151
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2}-.1951976{col 34}{space 2} .3457851{col 45}{space 1}   -0.56{col 54}{space 3}0.572{col 62}{space 4} -.872924{col 75}{space 3} .4825288
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2692025{col 34}{space 2}  .341217{col 45}{space 1}    0.79{col 54}{space 3}0.430{col 62}{space 4}-.3995705{col 75}{space 3} .9379756
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H3bATET
{txt}
{com}. *
.  
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** LOW ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON LOWER TERCILE [fairnessgsem < -0.0520733]; OTHERWISE = 0 ** 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (settle_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagsettle_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem <              -0.0520733 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.011e-13}  
Iteration 1:{space 3}EE criterion = {res: 6.228e-23}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       159
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:130} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .1128801{col 34}{space 2} .1799749{col 45}{space 1}    0.63{col 54}{space 3}0.531{col 62}{space 4}-.2398642{col 75}{space 3} .4656245
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .0677313{col 34}{space 2} .0224412{col 45}{space 1}    3.02{col 54}{space 3}0.003{col 62}{space 4} .0237474{col 75}{space 3} .1117152
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagsettle_prop {c |}{col 22}{res}{space 2} 2.097354{col 34}{space 2} 1.302619{col 45}{space 1}    1.61{col 54}{space 3}0.107{col 62}{space 4}-.4557317{col 75}{space 3} 4.650439
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.8977445{col 34}{space 2} .8908805{col 45}{space 1}   -1.01{col 54}{space 3}0.314{col 62}{space 4}-2.643838{col 75}{space 3} .8483492
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}  -.53868{col 34}{space 2} .4397789{col 45}{space 1}   -1.22{col 54}{space 3}0.221{col 62}{space 4}-1.400631{col 75}{space 3} .3232707
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .0021002{col 34}{space 2} .1378253{col 45}{space 1}    0.02{col 54}{space 3}0.988{col 62}{space 4}-.2680324{col 75}{space 3} .2722329
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .1584985{col 34}{space 2} .1182308{col 45}{space 1}    1.34{col 54}{space 3}0.180{col 62}{space 4}-.0732296{col 75}{space 3} .3902266
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .7370804{col 34}{space 2} .4448123{col 45}{space 1}    1.66{col 54}{space 3}0.098{col 62}{space 4}-.1347358{col 75}{space 3} 1.608897
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} .5409565{col 34}{space 2} 3.289044{col 45}{space 1}    0.16{col 54}{space 3}0.869{col 62}{space 4}-5.905451{col 75}{space 3} 6.987364
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.510681{col 34}{space 2}  1.20637{col 45}{space 1}   -1.25{col 54}{space 3}0.210{col 62}{space 4}-3.875123{col 75}{space 3} .8537597
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} 1.615938{col 34}{space 2} 1.025684{col 45}{space 1}    1.58{col 54}{space 3}0.115{col 62}{space 4}-.3943667{col 75}{space 3} 3.626242
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} -.051165{col 34}{space 2} .4580523{col 45}{space 1}   -0.11{col 54}{space 3}0.911{col 62}{space 4} -.948931{col 75}{space 3} .8466011
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0177092{col 34}{space 2} .1191439{col 45}{space 1}   -0.15{col 54}{space 3}0.882{col 62}{space 4} -.251227{col 75}{space 3} .2158086
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.3215811{col 34}{space 2} .1785202{col 45}{space 1}   -1.80{col 54}{space 3}0.072{col 62}{space 4}-.6714742{col 75}{space 3}  .028312
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .1506129{col 34}{space 2} 1.342854{col 45}{space 1}    0.11{col 54}{space 3}0.911{col 62}{space 4}-2.481333{col 75}{space 3} 2.782559
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} 1.475987{col 34}{space 2} 1.060707{col 45}{space 1}    1.39{col 54}{space 3}0.164{col 62}{space 4}-.6029615{col 75}{space 3} 3.554935
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .4338345{col 34}{space 2} .4404325{col 45}{space 1}    0.99{col 54}{space 3}0.325{col 62}{space 4}-.4293973{col 75}{space 3} 1.297066
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0029088{col 34}{space 2} .0748143{col 45}{space 1}   -0.04{col 54}{space 3}0.969{col 62}{space 4}-.1495422{col 75}{space 3} .1437246
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0606494{col 34}{space 2} .0748393{col 45}{space 1}   -0.81{col 54}{space 3}0.418{col 62}{space 4}-.2073317{col 75}{space 3}  .086033
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.339612{col 34}{space 2} .9680679{col 45}{space 1}   -1.38{col 54}{space 3}0.166{col 62}{space 4} -3.23699{col 75}{space 3} .5577664
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.328513{col 34}{space 2} 1.488121{col 45}{space 1}   -0.89{col 54}{space 3}0.372{col 62}{space 4}-4.245177{col 75}{space 3} 1.588152
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2} -1.22412{col 34}{space 2} 1.268255{col 45}{space 1}   -0.97{col 54}{space 3}0.334{col 62}{space 4}-3.709855{col 75}{space 3} 1.261615
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store L_H3bATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    1.37
{txt}{col 10}Prob > chi2 =  {res}  0.5044
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (settle_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagsettle_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem <              -0.0520733 & fliptreatdum==0 & singletreatdum==0, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.011e-13}  
Iteration 1:{space 3}EE criterion = {res: 2.971e-23}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       159
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:130} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .0554798{col 34}{space 2} .0468988{col 45}{space 1}    1.18{col 54}{space 3}0.237{col 62}{space 4}-.0364402{col 75}{space 3} .1473997
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .0308853{col 34}{space 2} .0403932{col 45}{space 1}    0.76{col 54}{space 3}0.444{col 62}{space 4}-.0482838{col 75}{space 3} .1100544
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store L_H3bATET
{txt}
{com}. *
.  
. coefplot (M_H1ATE, rename(r1vs0.direct_reporting="ATE") \ M_H1ATET, rename(r1vs0.direct_reporting="ATET")),bylabel(Moderate OF) ciopts(recast(rcap) lcolor(dkorange)) mcolor(dkorange) msymbol(circle) || (H_H1ATE, rename(r1vs0.direct_reporting="ATE") \ H_H1ATET, rename(r1vs0.direct_reporting="ATET")),bylabel(High OF) ciopts(recast(rcap) lcolor(green)) mcolor(green) msymbol(circle)||,  nokey norecycle vertical ylabel(-1000 (500) 1000, angle(horizon)) yscale(range (-1000 (500) 1000)) yline (0, lcolor(black) lwidth(thin) lpattern(dash)) nooffsets msize(medsmall) xlabel("") byopts(row(1) note("Low OF: Treatment Overlap Assumption Violated", j(right) place(seast) size(vsmall)) title("Figure SA-5.1" "Total Number of Reported Discrimination", size(med))) saving("FigureSA-51")
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}(file FigureSA-51.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-41.gph", replace
{txt}(note: file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-41.gph not found)
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-41.gph saved)

{com}. 
. coefplot (L_H2ATE, rename(r1vs0.direct_reporting="ATE") \ L_H2ATET, rename(r1vs0.direct_reporting="ATET")), bylabel(Low OF) ciopts(recast(rcap) lcolor(cranberry)) mcolor(cranberry) msymbol(circle)  || (M_H2ATE, rename(r1vs0.direct_reporting="ATE") \ M_H2ATET, rename(r1vs0.direct_reporting="ATET")),bylabel(Moderate OF) ciopts(recast(rcap) lcolor(dkorange)) mcolor(dkorange) msymbol(circle) || (H_H2ATE, rename(r1vs0.direct_reporting="ATE") \ H_H2ATET, rename(r1vs0.direct_reporting="ATET")),bylabel(High OF) ciopts(recast(rcap) lcolor(green)) mcolor(green) msymbol(circle) ||, nokey norecycle vertical ylabel(-0.2 (0.2) 0.8, angle(horizon)) yscale(range (-0.2 (0.2) 0.8)) yline (0, lcolor(black) lwidth(thin) lpattern(dash)) nooffsets msize(medsmall) xlabel("") byopts(row(1) title("Figure SA-5.2" "Informal Caseload Rate", size(med))) saving("FigureSA-52")
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}(file FigureSA-52.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-42.gph", replace
{txt}(note: file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-42.gph not found)
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-42.gph saved)

{com}. 
. coefplot (L_H3aATE, rename(r1vs0.direct_reporting="ATE") \ L_H3aATET, rename(r1vs0.direct_reporting="ATET")), bylabel(Low OF) ciopts(recast(rcap) lcolor(cranberry)) mcolor(cranberry) msymbol(circle) || (M_H3aATE, rename(r1vs0.direct_reporting="ATE") \ M_H3aATET, rename(r1vs0.direct_reporting="ATET")),bylabel(Moderate OF) ciopts(recast(rcap) lcolor(dkorange)) mcolor(dkorange) msymbol(circle) || (H_H3aATE, rename(r1vs0.direct_reporting="ATE") \ H_H3aATET, rename(r1vs0.direct_reporting="ATET")),bylabel(High OF) ciopts(recast(rcap) lcolor(green)) mcolor(green) msymbol(circle) ||, nokey norecycle vertical ylabel(-0.4 (0.4) 1.2, angle(horizon)) yscale(range (-0.4 (0.4) 1.2)) yline (0, lcolor(black) lwidth(thin) lpattern(dash)) nooffsets msize(medsmall) xlabel("") byopts(row(1) title("Figure SA-5.3" "Withdrawn Caseload Rate", size(med))) saving("FigureSA-53")
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}(file FigureSA-53.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-43.gph", replace
{txt}(note: file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-43.gph not found)
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-43.gph saved)

{com}. 
. coefplot (L_H3bATE, rename(r1vs0.direct_reporting="ATE") \ L_H3bATET, rename(r1vs0.direct_reporting="ATET")), bylabel(Low OF) ciopts(recast(rcap) lcolor(cranberry)) mcolor(cranberry) msymbol(circle) || (M_H3bATE, rename(r1vs0.direct_reporting="ATE") \ M_H3bATET, rename(r1vs0.direct_reporting="ATET")),bylabel(Moderate OF) ciopts(recast(rcap) lcolor(dkorange)) mcolor(dkorange) msymbol(circle) || (H_H3bATE, rename(r1vs0.direct_reporting="ATE") \ H_H3bATET, rename(r1vs0.direct_reporting="ATET")),bylabel(High OF) ciopts(recast(rcap) lcolor(green)) mcolor(green) msymbol(circle) ||,  nokey norecycle vertical ylabel(-1 (0.4) 1, angle(horizon)) yscale(range (-1 (0.4) 1)) yline (0, lcolor(black) lwidth(thin) lpattern(dash)) nooffsets msize(medsmall) xlabel("") byopts(row(1) title("Figure SA-5.4" "Settlement Caseload Rate", size(med))) saving("FigureSA-54")
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}(file FigureSA-54.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-44.gph", replace
{txt}(note: file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-44.gph not found)
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\FigureSA-44.gph saved)

{com}. 
. gr combine FigureSA-51.gph FigureSA-52.gph FigureSA-53.gph FigureSA-54.gph, note("Point Estimates and Corresponding 95% Confidence Intervals", j(right) place(seast) size(vsmall))
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}
{com}. 
. 
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\CROAs.Krause&Park.OMIT FLIPFLOP & SINGLE AGENCY YEAR CASES.06-18-2022.dta", replace
{txt}(note: file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\CROAs.Krause&Park.OMIT FLIPFLOP & SINGLE AGENCY YEAR CASES.06-18-2022.dta not found)
file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\CROAs.Krause&Park.OMIT FLIPFLOP & SINGLE AGENCY YEAR CASES.06-18-2022.dta saved

{com}. 
. 
. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Output\CROAs.JPART OMIT FLIPFLOP & SINGLE AGENCY YEAR CASES.06-18-2022.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}18 Jun 2022, 19:32:00
{txt}{.-}
{smcl}
{txt}{sf}{ul off}